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Complete show_result

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Ricardo Montañana Gómez
2021-12-02 11:27:18 +01:00
parent b0a3c7e008
commit f317966c25
2 changed files with 31 additions and 14 deletions
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29
src/Results.py
View File

@@ -684,35 +684,44 @@ class Summary:
)
)
def show_result(self, file_name: str, metric: float = 0.0) -> None:
def show_result(self, data: dict, title: str = "") -> None:
def whites(n: int) -> str:
return " " * n + "*"
if data == {}:
print(f"** {title} has No data **")
return
file_name = data["file"]
metric = data["metric"]
result = StubReport(os.path.join(Folders.results, file_name))
length = 80
print("*" * length)
if title != "":
print(f"*{title:^{length - 2}s}*")
print("*" + "-" * (length - 2) + "*")
print("*" + whites(length - 2))
print(f"* {file_name:60s}" + whites(length - 63))
print(
f"* Model: {result.data['model']:15s} Score: "
f"{result.data['score_name']:17s} "
f"Metric: {metric:10.7f}" + whites(length - 69)
)
print("*" + whites(length - 2))
print(
f"* Date : {result.data['date']:15s} Time: "
f"{result.data['time']:18s} Time Spent: "
f"{result.data['duration']:9,.2f} secs." + whites(length - 78)
)
print(
f"* Model: {result.data['model']:15s} Score: "
f"{result.data['score_name']:15s} "
f" Stratified: {str(result.data['stratified']):15s}"
+ whites(length - 78)
)
seeds = str(result.data["seeds"])
seeds_len = len(seeds)
print(
f"* Seeds: {seeds:{seeds_len}s} Platform: "
f"{result.data['platform']:17s} " + whites(length - 79)
)
if metric != 0.0:
print(f"* Metric: {metric:10.7f}" + whites(length - 21))
print(
f"* Stratified: {str(result.data['stratified']):15s}"
+ whites(length - 30)
)
print(f"* {file_name:60s}" + whites(length - 63))
print("*" + whites(length - 2))
print("*" * length)

16
src/Summary.py
View File

@@ -3,13 +3,21 @@ from Results import Summary
summary = Summary()
summary.acquire()
for metric in ["accuracy", "f1_macro", "f1_micro"]:
for metric in ["accuracy", "f1-macro", "f1-micro"]:
for model in ["STree", "ODTE"]:
title = f"BEST RESULT of {metric} for {model}"
best = summary.best_result(
criterion="model", value=model, score=metric
)
summary.show_result(
best["file"], best["metric"]
) if best != {} else print(
summary.show_result(data=best, title=title) if best != {} else print(
"No best result for {} {}".format(model, metric)
)
summary.show_result(
summary.best_result(score="accuracy"), title="BEST RESULT accuracy"
)
summary.show_result(
summary.best_result(score="f1-macro"), title="BEST RESULT f1_macro"
)
summary.show_result(
summary.best_result(score="f1-micro"), title="BEST RESULT f1_micro"
)